Open Data and Preregistrations on OSF

Research is increasingly computational, data-driven, and collaborative.
Thus, we are faced with the challenge of not only managing and documenting valuable research data, but also preserving them and making them available for reuse. However, the research process cannot be traced with open data alone, neither for collaborators nor for downstream users. The aim of an open research process should be reproducibility. This can only be achieved with a detailed description of the entire research process, including hypothesis generation, data handling and analysis methods.

Preregistration has emerged as a powerful tool for enhancing the transparency, credibility, and reproducibility of research across various disciplines. During this workshop, we introduced the concept of preregistration, its importance, and practical strategies for preregistering. We discussed how to register a research project in OSF (the Open Science Framework, osf.io), including study protocols and analysis plans, and explored best practices.